The creep effect in the suspension system of microspeakers significantly influences their low-frequency displacement dynamics. Although theoretical models considering the creep effect have been established, the lack of a corresponding parameter identification method has hindered their practical implementation in loudspeaker active control systems. This paper presents a comprehensive parameter identification framework for microspeakers incorporating the creep effect. The creep-related parameters R2 and K2 are efficiently estimated through the linear displacement transfer function, followed by time-domain identification of other system parameters under nonlinear conditions. Experimental results show that, compared with models that neglect the creep effect, the proposed method markedly improves displacement prediction accuracy at low frequencies, highlighting its strong potential for practical applications.
(See document for exact affiliation information.)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
